Cyber Resilience

CVE-2025-46149

Linuxfoundation Pytorch 2.6.0 – 2.7.0

Published
25 September 2025
Modified
03 October 2025
Patch / advisory
CVSS Score v3.1 5.3
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
EPSS Score 0.0034 27th percentile
Risk Priority 44 floored blend · peak EPSS

Summary

CVE-2025-46149 is a medium-severity Reachable Assertion (CWE-617) vulnerability in Linuxfoundation Pytorch. Its CVSS base score is 5.3 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Application or System Exploitation (T1499.004); ranked at the 27th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as Deep Learning Frameworks; in the Not Applicable risk domain.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-8 (Security and Privacy Engineering Principles) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error.

CWE(s)

AI Security AnalysisAI

AI Category
Deep Learning Frameworks
Risk Domain
Not Applicable
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: pytorch

Related Threats

MITRE ATT&CK Enterprise Techniques

T1499.004 Application or System Exploitation Impact
Adversaries may exploit software vulnerabilities that can cause an application or system to crash and deny availability to users.
T1499 Endpoint Denial of Service Impact
Adversaries may perform Endpoint Denial of Service (DoS) attacks to degrade or block the availability of services to users.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2025-55557Same product: Linuxfoundation Pytorch
CVE-2025-55553Same product: Linuxfoundation Pytorch
CVE-2025-63396Same product: Linuxfoundation Pytorch
CVE-2025-55560Same product: Linuxfoundation Pytorch
CVE-2025-55558Same product: Linuxfoundation Pytorch
CVE-2025-55551Same product: Linuxfoundation Pytorch
CVE-2025-3730Same product: Linuxfoundation Pytorch
CVE-2025-2953Same product: Linuxfoundation Pytorch
CVE-2025-2149Same product: Linuxfoundation Pytorch
CVE-2025-2148Same product: Linuxfoundation Pytorch

Affected Assets

linuxfoundation
pytorch
2.6.0 — 2.7.0

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation finds reachable assertions during development.

Security engineering principles discourage use of assertions for handling untrusted input.

Validating untrusted inputs structurally prevents attacker data from reaching and triggering assertions.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly prevent unsafe assertions from being coded in reachable paths.

DE.CM-09 partial match
prevents

Runtime monitoring of software can detect assertion-triggered crashes as adverse events.

ID.RA-01 partial match
prevents

Vulnerability identification processes can discover and record reachable-assertion flaws before deployment.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

finds

Security testing in development can detect reachable assertions before release, reducing the likelihood of exploitation.

prevents

Secure development lifecycle mandates defensive coding and input validation that prevent reachable assertions from being triggered by untrusted data.

prevents

Application security requirements can specify that assertions must not be reachable from attacker-controlled inputs.

prevents

Secure architecture principles discourage the use of assertions for runtime error handling that an attacker could exploit.

prevents

Secure coding standards explicitly ban the use of assert() or equivalent statements that can be triggered by external input.

References